Sahlgrenska University Hospital, Göteborg, Sweden.
Future Oncol. 2010 Jun;6(6):1043-9. doi: 10.2217/fon.10.60.
Many cancers are detected at a late stage resulting in high mortality rates. Thus, it is essential to develop inexpensive and simple methods for early diagnosis. Detection of different malignancies using canine scent, as well as other technical methods, has been reported in peer-reviewed journals, indicating that this may represent a new diagnostic tool for malignancies.
This study aims to test the detection of different volatile organic compound signals emitted by ovarian carcinoma and normal tissues.
MATERIALS & METHODS: A previously tested electronic nose is used in the pilot study to analyze human grade 3 seropapillary ovarian carcinoma samples. The recorded signals were compared with healthy human Fallopian tube specimens. A variety of algorithms were tested and confusion matrices compared. In parallel, an external validation study was performed using the same type and grade of human ovarian carcinomas with healthy myometrium (first part) and postmenopausal ovarium (second part) specimens as controls. Both sample types were obtained from individuals who did not participate in the pilot study.
Method sensitivity was 100% (15 of 15) in the pilot study. The first part of the validation study demonstrated that 84.8% of cancer tissues (sensitivity: 84.8%) and 88.6% of the control samples (specificity: 88.6%) were correctly classified. In the second part the JRip algorithm correctly classified 75% of cancer tissues (sensitivity: 75%) and 80% of the control ovarian tissues (specificity: 80%). Collating results gives a sensitivity of 84.4%, whereas overall specificity was 86.8%.
Although based on a limited number of samples, our results strongly suggest that specific volatile organic compound signals emitted by ovarian carcinomas may be used for early diagnosis of the disease.
许多癌症在晚期被发现，导致高死亡率。因此，开发廉价且简单的早期诊断方法至关重要。已经在同行评议的期刊上报道了使用犬类嗅觉以及其他技术方法来检测不同的恶性肿瘤，这表明这可能代表了恶性肿瘤的一种新的诊断工具。
本研究旨在检测卵巢癌和正常组织发出的不同挥发性有机化合物信号的检测。
在试点研究中，使用经过先前测试的电子鼻来分析人 3 级浆液性乳头状卵巢癌样本。将记录的信号与健康人输卵管标本进行比较。测试了各种算法并比较了混淆矩阵。同时，使用相同类型和等级的人卵巢癌和健康的子宫肌层（第一部分）和绝经后卵巢（第二部分）标本进行了外部验证研究作为对照。两种样本类型均取自未参与试点研究的个体。
在试点研究中，该方法的灵敏度为 100%（15/15）。验证研究的第一部分表明，84.8%的癌症组织（灵敏度：84.8%）和 88.6%的对照样本（特异性：88.6%）被正确分类。在第二部分，JRip 算法正确分类了 75%的癌症组织（灵敏度：75%）和 80%的对照卵巢组织（特异性：80%）。综合结果的灵敏度为 84.4%，而总体特异性为 86.8%。
尽管基于有限数量的样本，我们的结果强烈表明卵巢癌发出的特定挥发性有机化合物信号可用于该疾病的早期诊断。
